Individual skill
boltz2-nim
Use Boltz2 NIM for biomolecular structure prediction and binding affinity. Invoke for Boltz2, protein structures, protein-ligand/DNA/RNA complexes, SMILES or CCD ligands, pIC50/IC50 affinity scoring, mmCIF output, hosted NVIDIA API calls, or local Docker deployment.
skills/bionemo-boltz2-nim/SKILL.md
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BENCHMARK.mddoc · 6,999 bytesSKILL.mdcore · 5,513 bytesSKILL.mdcore · 5,513 bytesSKILL.mdcore · 5,513 bytesSKILL.mdcore · 5,513 bytesSKILL.mdcore · 5,513 bytesconfig/skillspector-baseline.ymlasset · 865 bytesevals/config.ymlasset · 117 bytesevals/evals.jsonasset · 6,821 bytesevals/trigger_evals.jsonasset · 2,323 bytesreferences/api.mddoc · 5,786 bytesreferences/examples.mddoc · 2,086 bytesreferences/parameters.mddoc · 1,707 bytesreferences/science.mddoc · 1,752 bytesreferences/validation.mddoc · 1,321 bytesskill-card.mddoc · 4,213 bytesskill.oms.sigasset · 6,453 bytes
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# Boltz2 NIM
Predict biomolecular structures and optional ligand affinity. Use this
guide for first-pass hosted/local usage; load supplemental files only when
needed:
- `references/api.md`: exact endpoints, schemas, Docker flags, response fields.
- `references/science.md`: purpose, strengths, limitations, and handoffs.
- `references/parameters.md`: prediction, sampling, MSA, template, affinity tuning.
- `references/validation.md`: mmCIF, confidence, affinity, and chemistry checks.
- `references/examples.md`: compact hosted/local payload patterns.
## Instructions